@inproceedings{9cdbb2cffc714ae698b78b3598f45a29,
title = "High-Capacity Double-Layer Data Hiding Technique Based on 3D Magic Cube",
abstract = "Information technology and the Internet have progressed rapidly in people{\textquoteright}s lives, the privacy of information has become an important issue due to the accessibility of data. Therefore, to enhance information security and privacy protection, this paper proposes a new high-capacity method for data hiding. The proposed method is based on 3D magic cube with double layers embedding. In the field of data hiding, the reference matrix-based methods attract many researchers because of its high-capacity. Recently, as the needs of the high payloads of the stego-image, the multi-layers-based technique is applied to provide larger embedding capacity. However, the image after data embedding will cause serious distortions, especially on multi-layers embedding, hence, keeping the image at a good visual quality and achieving high-payloads are the main challenges for data hiding. In this scheme, we take advantage of 3D magic cube and 3D reference space with double layers embedding for our data hiding technique to improve the embedding payloads. The experimental results show that our method not only provides good embedding capacity (4.00 bpp) but also keeps the image at acceptable quality (In terms of PSNR > 30).",
keywords = "Data hiding, High capacity, Magic cube, Multi-layers embedding",
author = "Weng, {Hao Yu} and Tsai, {Min Yi} and Wang, {Wei Jen} and Huang, {Cheng Ta}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022 ; Conference date: 15-12-2022 Through 17-12-2022",
year = "2022",
doi = "10.1007/978-981-19-9582-8_59",
language = "???core.languages.en_GB???",
isbn = "9789811995811",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "670--678",
editor = "Sun-Yuan Hsieh and Ling-Ju Hung and Sheng-Lung Peng and Ralf Klasing and Chia-Wei Lee",
booktitle = "New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings",
}